GIS and Innovations in Machine Learning GIS Lounge

Machine learning or artificial techniques has been rapidly transforming many areas related to GIS and spatial applications. One example is using web GIS with machine learning algorithms to predict or forecast the success of given potential hotel sites. This has been created into an application called Hotel Location Selection and Analyzing Toolset (HoLSAT). Techniques such as pursuit regression, artificial neural network, and support vector regression allow the tool to determine beneficial hotel locations based on a variety of criteria.[1] Determining where landslides might occur is also another potential application for machine learning techniques such as decision trees (DT) and adaptive neuro-fuzzy inference methods.